A novel paradigm for context-aware content pre-fetching in mobile networks
A novel paradigm for context-aware content pre-fetching in mobile networks
复制标题
移动网络中上下文感知内容预取的新颖范例
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Z. Segall
中科院分区：
文献类型：
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作者：
P. Kamaraju;P. Lungaro;Z. Segall
当前的内容供应方法和相关联的定价和商业模型受到未来“数据密集型”服务预期的业务需求的挑战。为了提供更高的峰值速率，运营商将需要部署更密集的基础设施和/或获取更多的频谱，从而显著增加其CAPEX和OPEX并减少收入。为了提高可用网络资源的利用率，本文提出了ActiveCast，一个破坏性的内容交付范式，支持机会主义的内容预取通过引入语义和上下文感知在目前的“不可知”的网络范式。本文中提出的实验调查集中在移动的视频供应和内容提供商，与Facebook和YouTube集成，已开发和用于识别一组测试用户的社会相关内容。本文中提出的部分研究旨在通过实验了解与预取相关的能源成本结构，并定义一种允许控制能源投资量的交付策略。集中式的实现，其中预取是由移动的运营商协调，和过顶（OTT）的ActiveCast实现之间的比较。结果表明，补充上下文信息，可在个别用户终端的交通信息，共享的移动的运营商通过ActiveCast API，可以大大降低能源成本的内容交付，相比“按需”视频流。此外，机会主义地利用与WiFi AP的连接可以放大通过在广域网上预取已经实现的增益。
The current content provision methods and associated pricing and business models are challenged by the traffic requirements anticipated for future “data intensive” services. In order to deliver substantially higher peak rates operators will need to deploy a much denser infrastructure and/or acquire more spectrum, thus significantly increasing their CAPEX and OPEX and reducing revenues. To improve the utilization of available network resources this paper presents ActiveCast, a disruptive content delivery paradigm that supports opportunistic content pre-fetching by introducing semantic and context awareness in the currently “agnostic” networking paradigm. The experimental investigations presented in the paper focus on mobile video provision and a content provider, integrated with Facebook and YouTube, has been developed and used to identify socially relevant content for a set of test users. Part of the studies presented in the paper aim at experimentally understanding the structure of the energy costs associated with pre-fetching and on defining a delivery strategy that allows controlling the amount of energy invested. A comparison between a centralized implementation, in which pre-fetching is coordinated by the mobile operators, and an Over-The-Top (OTT) implementation of ActiveCast are also presented. The results show that complementing the context information available at individual user terminals with traffic information, shared by mobile operators through the ActiveCast API, can substantially reduce the energy costs of content delivery, as compared with “on demand” video streaming. Additionally, opportunistically exploiting connections with WiFi APs can amplify the gains already achievable by prefetching on wide area networks.